EMQ & Wanwei jointly create a new era of IOT for AIoT, and completely build the Internet of Things and video data collaboration, efficient and fast access to iot and application platform, which has been widely used in government, education, smart community, power, industry and other industrial scenes.
Big data era
Both the Internet of Things and AI are inseparable from data, which is the basis of the Internet of everything and human-computer interaction. The introduction of AI has given IoT a connected “brain”, the development of storage has given data a basic “logistics”, and the rapid expansion of cloud services has given data greater value.
EMQ joins hands with Wanwei
EMQ provides soft real-time, high concurrency, low latency and distributed hyperconvergence for building IoT device access and opening up the data path of MQTT, and provides open source Internet of Things message and flow data processing middleware covering Edge and Cloud computing. It is the necessary infrastructure software and key data center for enterprise-level Internet of Things applications and large-scale Internet of Things platform construction.
Hangzhou Wanwei Technology Co., LTD is mainly engaged in SDAN video & AIoT networking series, video transmission special switch series, video transmission special WIFI wireless product series and other businesses. It has industry-leading original SDAN core patent technology and video transmission stuck optimization processing technology. It is committed to the construction concept of decentralized big data pool of VIOT scene to accelerate the secure application of VIOT data and release of commercial value.
EMQ joins hands with Wanwei to truly achieve the construction goals of: full coverage, full network sharing, full availability, full control and so on.
AIoT builds a new Internet of Things
EMQ and Wanwei are committed to creating the “integration” of AI and IoT. EMQ will open up the front-end IoT data path, while Wanwei will build the video AI data path and application to jointly solve the problems of edge heterogeneous data acquisition and collection, low delay and high fault tolerance network path, and data standard unification in the era of big data. Thus fusion camera, AI camera, DVR, NVR, brake machine (people) | car, fire equipment, electronic fence perception, entrance guard and other kinds of iot sensor and video equipment to realize multidimensional awareness, data acquisition, processing, applications, show, prediction, etc.
“Integrated” AIoT big data has natural attributes and technical thresholds in terms of capacity, timeliness, diversity, authenticity and value, while the binding of EMQ and Wanwei is bound to solve these problems better and more efficiently.
Capacity: Amount of data is the data set as a big data, or the traditional large data of a decisive factor, no matter from the social networking, intelligence traffic generated IoT, intelligent community, intelligent hospital data, such as video quantity is huge, but whether concurrent access to data or the front-end equipment run in parallel, video data effectively be carrying IoT and AI.
Timeliness: Data generated by social networking is 7*24H real-time, supporting real-time IoT data collection and AI big data analysis in real-time, high efficiency and availability.
Diversity: Mainly for IoT (ten thousand levels of heterogeneous IoT data collection), video and audio (ten thousand levels of heterogeneous devices from different manufacturers data collection), with different forms and types. Including structured, semi-structured and unstructured data, a wide variety of data types can be generated and collected through the Internet of Things.
Authenticity: Real data (iot device status, real-time flow, video flow, etc.) are collected in real time and analyzed accurately in real time to realize the purpose of live data and intelligent application, which is particularly important, especially the linkage and intelligent collision of all kinds of perceptual data collected at the edge.
Value: Edge collects multi-source dimensional data, transforms big data into useful information and content (marked, regular, securely encrypted and available data) through edge gateway, and brings competitive advantages to the organization.
The solution
In the stage of big data interconnection, it mainly realizes large-scale access capability, establishes real-time collection edge heterogeneous source and heterogeneous data system, and builds data opening capability of Internet of Things and AI interaction. EMQ & Wanwei introduces the following three solutions to form personalized differences on the basis of solving common problems, and is widely applied in: Government, education, smart community, power, industry and other industry scenarios.
Unified access platform features:
- Unified Internet of Things data and video data access scheme
- It is compatible with mixed access of Internet of Things devices and video capture devices from various manufacturers
- Cloud-side collaborative data access and data processing solutions
- Rapid deployment and quick interconnection greatly accelerates application implementation
- Support gb data standard access, support multi-level platform
Overall program capabilities and characteristics:
- Internet of Things device data access is provided by EMQ, and the Internet of Things is directly connected to EMQ on the platform
- The video data is connected with the cloud video platform after being connected by the video edge gateway
- EMQ provides the northbound data interface for Internet of Things data, and Wanwei provides the data interface for video data on the platform
- Unified management: Unified device management platform realizes unified management of Internet of Things devices and video devices at the upper layer (it can be realized by device management platform of third-party integrators and device management platform of docking customers)
Solution 1: Unified access integration at the platform layer
Program features:
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Platform side rule linkage: The API and rule engine are used to realize the linkage between device data and video data of the Internet of Things on the platform side, providing richer service implementation capabilities for the application layer
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Iot devices and video devices do not need to realize integrated linkage at the edge
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Scenario: IoT devices directly connect to cloud terminal platforms (outdoor IoT devices and NB-iot devices) through wireless/wired networks
Solution 2: Unified access integration at the platform layer
Program features:
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Rule linkage:
Edge end: The linkage between rule engine and video access edge gateway in EMQ Internet of Things edge gateway is realized through API call. The Internet of Things edge gateway and video access edge gateway network need to be connected
Cloud: Through API interaction, EMQ rule engine realizes the linkage between device data and video data in the Internet of Things
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The edge gateway and video access edge gateway must be deployed separately
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Scenario: Buildings, indoor devices, or regions are in a centralized area, and the devices are connected to the Internet of Things (iot) devices with continuous power supply. The iot devices need to report to the platform after edge convergence
Scheme 3: Unified integration of edge end
Program features:
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Provide a unified edge gateway for Internet of Things and video access to realize unified access to the edge of Internet of Things and video devices
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Iot devices and video devices can be linked at the edge
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Scenario: Buildings, indoor devices, or regions are in a centralized area, and the devices are connected to the Internet of Things (iot) devices with continuous power supply. The iot devices need to report to the platform after edge convergence
conclusion
Overall perception IoT data and streaming video data networking without blind Angle for the whole system of intelligent control, have been supervised and AI provides large data interconnection, advance, after the event recognition AIoT of fusion, activation and compatible ability for data generalization, provides a solid framework system, perfect match AIoT increasingly demand growth trend.
Copyright: EMQ
Original link: www.emqx.io/cn/blog/emq…